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CN113162041A - Monitoring method, device and equipment for optimizing line loss based on reactive correlation - Google Patents

Monitoring method, device and equipment for optimizing line loss based on reactive correlation Download PDF

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Publication number
CN113162041A
CN113162041A CN202110476200.4A CN202110476200A CN113162041A CN 113162041 A CN113162041 A CN 113162041A CN 202110476200 A CN202110476200 A CN 202110476200A CN 113162041 A CN113162041 A CN 113162041A
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line loss
node
reactive
line
correlation
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韩博文
陈小军
宋旭东
顾博川
余膺昊
戴书军
梁国邦
陈文�
王干军
林洪栋
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China Southern Power Grid Power Technology Co Ltd
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China Southern Power Grid Power Technology Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for AC mains or AC distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to the technical field of intelligent monitoring, in particular to a monitoring method, a device and equipment for optimizing line loss based on reactive correlation. The technical problems that the existing method for monitoring the line loss of the power distribution network adopts single data and cannot effectively improve the line loss of the power distribution line are solved.

Description

Monitoring method, device and equipment for optimizing line loss based on reactive correlation
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a monitoring method, a monitoring device and monitoring equipment for optimizing line loss based on reactive correlation.
Background
With the rapid development of the society, the requirement of power consumers on the power supply reliability of a power grid is more strict, and the power distribution network is used as an important network for connecting the power consumers and a high-voltage power grid and has a great decisive effect on the power supply reliability. Therefore, power supply enterprises also actively increase the construction investment of the power distribution network, especially the planning and automation construction of the low-voltage power distribution network, but with the rapid expansion of the scale and capacity of the low-voltage power distribution network, the line loss caused by the rapid expansion becomes another problem which needs to be solved urgently. Generally speaking, the comprehensive line rate of the power distribution network is about 5-7%. For a distribution network line with 3MW capacity, the power supply amount is about 2628 kWh per year, if the line loss can be reduced by 1%, the power amount of 26 kWh per year can be reduced, economic benefits cannot be brought to power supply enterprises, and the energy consumption is also reduced.
However, most of the existing detection devices and measures for low-voltage power networks are relatively backward, and the method for reducing the line loss in the power distribution network is difficult to break through, and generally, the theoretical line loss is accurately calculated as far as possible based on limited monitoring data. However, such methods have inherent disadvantages that available data is very small, and the method is only dependent on the improvement of an algorithm, so that a high-precision low-voltage line loss value is difficult to obtain.
Disclosure of Invention
The embodiment of the invention provides a method, a device and equipment for monitoring line loss based on reactive correlation optimization, which are used for solving the technical problems that the existing method for monitoring the line loss of a power distribution network adopts single data and cannot effectively improve the line loss of a power distribution line.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
a monitoring method for optimizing line loss based on reactive correlation comprises the following steps:
s10, acquiring network parameters of the distribution line according to a topological structure of the distribution network, and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line;
s20, obtaining a first line loss calculation value of the distribution line by adopting load flow calculation according to the network parameters;
s30, if the first line loss actual value is larger than the first line loss calculated value, the line loss of the distribution line is abnormal, and reactive power correlation values of all nodes are calculated;
and S40, starting from the node with the maximum reactive correlation value, putting line loss reduction elements into corresponding nodes one by one from large to small according to the reactive correlation values of all the nodes, after putting the line loss reduction elements into each node, obtaining a second line loss actual value and a second line loss calculated value by adopting the steps S10 and S20 until the second line loss actual value is not larger than the second line loss calculated value, and stopping putting the line loss reduction elements into the nodes of the distribution line.
Preferably, after step S20, the monitoring method further includes: and if the first line loss actual value is not larger than the first line loss calculated value, the line loss of the distribution line is normal, and the distribution network continues to operate.
Preferably, if k nodes are provided on the distribution line, in step S30, the step of calculating the reactive power correlation value of each node includes:
acquiring the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
calculating by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters to obtain line loss, and reactive power and active power of each node;
and calculating to obtain a reactive correlation value of each node by adopting a reactive correlation calculation formula according to the line loss, the reactive power and the active power of each node.
Preferably, the line loss calculation formula is:
Figure BDA0003047171900000021
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure BDA0003047171900000022
the reactive power calculation formula is as follows:
Figure BDA0003047171900000023
Qmis reactive power of the m-th node, PmReactive power for the mth node;
the reactive correlation calculation formula is as follows:
Figure BDA0003047171900000031
in the formula (I), the compound is shown in the specification,
Figure BDA0003047171900000032
for line loss PlossAnd the reactive correlation value of each node.
Preferably, in step S10, a monitoring device is installed at each node on the distribution line.
The invention also provides a monitoring device for optimizing line loss based on reactive correlation, which comprises a data acquisition module, a first calculation module, a second calculation module and an execution module;
the data acquisition module is used for acquiring network parameters of the distribution line according to the topological structure of the distribution network and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line;
the first calculation module is used for obtaining a first line loss calculation value of the distribution line by adopting load flow calculation according to the network parameters;
the second calculation module is configured to calculate a reactive correlation value of each node according to that the line loss of the distribution line is abnormal if the first line loss actual value is greater than the first line loss calculated value;
the execution module is configured to launch line loss reduction elements one by one according to reactive correlation values of the nodes from large to small from the node with the largest reactive correlation value, obtain a second line loss actual value and a second line loss calculated value by using the data acquisition module and the first calculation module after each node launches the line loss reduction element until the second line loss actual value is not greater than the second line loss calculated value, and stop launching the line loss reduction elements to the nodes of the power distribution line.
Preferably, the execution module is further configured to continue to operate the power distribution network when the line loss of the power distribution line is normal according to the fact that the first line loss actual value is not greater than the first line loss calculated value.
Preferably, the second calculation module comprises a node parameter acquisition submodule, a first calculation submodule and a second calculation submodule;
the node parameter obtaining submodule is used for obtaining the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
the first calculation submodule is used for calculating line loss, reactive power and active power of each node by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters;
and the second calculation submodule is used for calculating a reactive correlation value of each node by adopting a reactive correlation calculation formula according to the line loss, the reactive power and the active power of each node.
Preferably, the line loss calculation formula is:
Figure BDA0003047171900000041
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure BDA0003047171900000042
the reactive power calculation formula is as follows:
Figure BDA0003047171900000043
Qmis reactive power of the m-th node, PmReactive power for the mth node;
the reactive correlation calculation formula is as follows:
Figure BDA0003047171900000044
in the formula (I), the compound is shown in the specification,
Figure BDA0003047171900000045
for line loss PlossAnd the reactive correlation value of each node.
The invention also provides a monitoring device based on reactive correlation optimization line loss, which comprises a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the monitoring method based on reactive power correlation optimization line loss according to instructions in the program code.
According to the technical scheme, the embodiment of the invention has the following advantages: the monitoring method, the monitoring device and the monitoring equipment based on the reactive correlation optimization line loss compare the line loss actual value with the line loss calculated value of the distribution line before optimization, determine that the line loss is reduced according to the reactive correlation value of the nodes in the distribution line according to the comparison result, firstly calculate the reactive correlation value of each node in the distribution line, reduce line loss elements by one-by-one node investment from the size of the reactive correlation value, reduce the line loss on the distribution line until the second line loss actual value obtained again by the distribution line is not more than the second line loss calculated value, stop reducing the line loss elements by the node investment of the distribution line, optimize the distribution line of the distribution network and reduce the line loss. The technical problems that the existing method for monitoring the line loss of the power distribution network adopts single data and cannot effectively improve the line loss of the power distribution line are solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart illustrating steps of a monitoring method for optimizing line loss based on reactive power correlation according to an embodiment of the present invention.
Fig. 2 is a flowchart of steps of calculating a reactive power correlation value of each node by the monitoring method for optimizing line loss based on reactive power correlation according to the embodiment of the present invention.
Fig. 3 is a block diagram of a monitoring device for optimizing line loss based on reactive power correlation according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a monitoring method, a monitoring device and monitoring equipment for optimizing line loss based on reactive correlation, and the monitoring method, the monitoring device and the monitoring equipment are used for solving the technical problems that the existing method for monitoring the line loss of a power distribution network adopts single data and cannot effectively improve the line loss of a power distribution line.
The first embodiment is as follows:
fig. 1 is a flowchart illustrating steps of a monitoring method for optimizing line loss based on reactive power correlation according to an embodiment of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a monitoring method for optimizing line loss based on reactive power correlation, including the following steps:
s10, acquiring network parameters of the distribution line according to a topological structure of the distribution network, and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line.
It should be noted that the topology is mainly obtained from the master station system of the power distribution network. In this embodiment, a case of obtaining a topology structure of a low-voltage power transmission system from a power distribution network is described, and network parameters of a power distribution line are obtained according to the topology structure of the power distribution network, where the network parameters include the number of nodes of the power distribution line, the type of the nodes (balanced nodes or PQ nodes), the number of line branches, the voltage amplitude of each node, and the voltage phase angle difference, conductance, susceptance, and the like between two nodes. Each node on the distribution line is provided with a monitoring device. The monitoring device may be a line loss monitoring device such as CN 204203354U.
And S20, obtaining a first line loss calculation value of the distribution line by adopting load flow calculation according to the network parameters.
It should be noted that it is a prior art in the art to calculate the line loss of the distribution line by using the power flow according to the network parameters on the distribution line, and a method and a system for calculating the line loss of the distribution line by using the power flow calculation are also disclosed in the distribution network line loss calculation method and system with publication number CN110212521A, so that in this embodiment, the content of the first line loss calculation value of the distribution line obtained by using the power flow calculation according to the network parameters is not described in detail.
And S30, if the first line loss actual value is larger than the first line loss calculated value, the line loss of the distribution line is abnormal, and the reactive correlation value of each node is calculated.
And S40, putting the line loss reduction elements into the nodes with the maximum reactive correlation value one by one according to the reactive correlation values of all the nodes from large to small, obtaining a second line loss actual value and a second line loss calculated value by adopting the steps S10 and S20 after each node is put into the line loss reduction element until the second line loss actual value is not larger than the second line loss calculated value, and stopping putting the line loss reduction element into the nodes of the distribution line.
In an embodiment of the present invention, after step S20, the monitoring method for optimizing line loss based on reactive power correlation further includes: and if the first line loss actual value is not larger than the first line loss calculated value, the line loss of the distribution line is normal, and the distribution network continues to operate.
In step S30 and step S40, it is mainly determined whether the monitored first line loss actual value of the distribution line and the first line loss calculated value obtained by the power flow calculation satisfy a condition that the first line loss actual value is not greater than the first line loss calculated value, and if so, the line loss of the distribution line is normal, and the distribution network is controlled to continue to operate. Under unsatisfied the condition, can be through warning notice, also need optimize distribution lines, reduce the line loss on the distribution lines, therefore, need calculate each node reactive relevance numerical value, drop into the reduction line loss component to the node one by one from the size of reactive relevance numerical value, reduce the line loss on the distribution lines, second line loss actual value that obtains again until the distribution lines is not more than second line loss calculated value, stop dropping into the reduction line loss component to the node of distribution lines, realize optimizing the distribution lines of distribution network, reduce the line loss. Among them, the line loss reducing element is preferably selected as a low-voltage capacitor.
The invention provides a monitoring method for optimizing line loss based on reactive correlation, which compares an actual line loss value with a calculated line loss value of a distribution line before optimization, determines that the line loss needs to be reduced according to the reactive correlation value of nodes in the distribution line according to a comparison result, firstly calculates the reactive correlation value of each node in the distribution line, and reduces line loss elements by inputting the nodes one by one from the magnitude of the reactive correlation value to the magnitude of the reactive correlation value, so as to reduce the line loss on the distribution line until the second actual line loss value obtained again by the distribution line is not greater than the second calculated line loss value, and stops inputting the nodes of the distribution line to reduce the line loss elements, thereby realizing the optimization of the distribution line of the distribution network and reducing the line loss. The technical problems that the existing method for monitoring the line loss of the power distribution network adopts single data and cannot effectively improve the line loss of the power distribution line are solved.
It should be noted that the monitoring method for optimizing the line loss based on the reactive correlation calculates the line loss in an ultra-short period through rapid calculation, so that the response measures for reducing the loss are more timely; based on the reactive correlation, the line loss reducing elements are purposefully put into use, so that the effect of reducing the line loss of the distribution line is more remarkable.
Fig. 2 is a flowchart of steps of calculating a reactive power correlation value of each node by the monitoring method for optimizing line loss based on reactive power correlation according to the embodiment of the present invention.
As shown in fig. 2, in an embodiment of the present invention, if k nodes are disposed on the distribution line, in step S30, the step of calculating the reactive power correlation value of each node includes:
s31, obtaining the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
s32, calculating by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters to obtain line loss, and reactive power and active power of each node;
and S33, according to the line loss, the reactive power and the active power of each node, calculating by adopting a reactive correlation calculation formula to obtain a reactive correlation value of each node.
In step S31 of the embodiment of the present invention, node parameters for calculating the line loss of the distribution line, the reactive power and the active power of each node are mainly obtained from the network parameters.
In step S32 of the embodiment of the present invention, the line loss, the reactive power and the active power of each node are obtained mainly according to the node parameters obtained in step S31.
It should be noted that, the line loss calculation formula is:
Figure BDA0003047171900000081
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure BDA0003047171900000082
the reactive power calculation formula is as follows:
Figure BDA0003047171900000083
Qmis reactive power of the m-th node, PmIs the reactive power of the mth node.
In step S33 of the embodiment of the present invention, the reactive power correlation value of each node on the distribution line is calculated according to the line loss, the reactive power of each node, and the active power obtained in step S32 based on the reactive power correlation calculation formula.
It should be noted that the reactive power correlation calculation formula is as follows:
Figure BDA0003047171900000091
in the formula (I), the compound is shown in the specification,
Figure BDA0003047171900000092
for line loss PlossAnd the reactive correlation value of each node.
In an embodiment of the present invention
Figure BDA0003047171900000093
The reactive power dependency value of each node can be known, i.e.
Figure BDA0003047171900000094
And sequencing from large to small by comparing the magnitude of the reactive correlation values of all the nodes, and putting the low-voltage capacitors into the nodes one by one from the node with the maximum reactive correlation value until the actual value of the second line loss is not more than the calculated value of the second line loss.
In the embodiment of the invention, the monitoring method for optimizing line loss based on reactive correlation takes a 380V distribution area low-voltage network as an example, and a distribution line of the low-voltage network comprises 42 nodes, 41 branches in total, 1 balance node and 41 PQ nodes. The network parameters (per unit values) of the distribution line are shown in table 1 below.
Table 1 shows network parameters of distribution lines
Figure BDA0003047171900000095
Figure BDA0003047171900000101
Then, in the distribution network area, network parameters of the distribution lines are acquired every 10 minutes. Therefore, this embodiment uses data collected every 10 minutes as the source of the ultra-short term load calculation. Performing conventional load flow calculation by using the network parameters and the node electrical data of the step S10 to obtain a first line loss calculation value Ploss_cal5.684kWh, 210.879kWh of power consumed by the load, 216.563kWh of power injected into the cell, and 2.625% of line loss.
The line loss abnormality is analyzed at step S30. By means of the monitoring device, a first actual value of the line loss P can be obtainedloss_fact6.056kWh, 210.879kWh of power consumed by the load, 216.935kWh of power injected into the stage area, and 2.792% of line loss rate.
And if the first line loss actual value is larger than the first line loss calculated value, judging that the line loss of the distribution room is abnormal, sending an alarm signal, and calculating the reactive correlation value of each node. Calculating a reactive power correlation value of each node according to the following formula, specifically:
if the low-voltage network has 42 nodes in total, the line loss P of the distribution linelossComprises the following steps:
Figure BDA0003047171900000102
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossLine loss of the line is distributed for k nodes.
In the low-voltage network, the power of any node m is as follows:
Figure BDA0003047171900000103
according to the two formulas, the line loss P can be calculatedlossReactive correlation for each node m:
Figure BDA0003047171900000111
in the formula (I), the compound is shown in the specification,
Figure BDA0003047171900000112
for line loss PlossReactive dependency values for 42 nodes.
According to the calculation result, the line loss P is obtained for most nodeslossThe value of the reactive dependency on this node is typically small (typically 10 e)-6An order of magnitude). The nodes with larger reactive correlation values are shown in table 2 below.
Table 2 shows the values of the node independence
Node numbering Value of reactive dependency
3 0.000689
6 0.000925
13 0.001238
16 0.001025
23 0.000594
28 0.000236
32 0.000039
39 0.000325
Step S6: according to
Figure BDA0003047171900000113
The reactive dependency of each node can be known, i.e.
Figure BDA0003047171900000114
Figure BDA0003047171900000121
And sequencing from large to small by comparing the magnitude of the reactive correlation of each node. The results of the ranking of the nodes with larger reactive correlation are shown in table 3 below.
Table 3 shows the results of the ordering of the node non-correlation values
Node numbering Value of reactive dependency
13 0.001238
16 0.001025
6 0.000925
3 0.000689
23 0.000594
39 0.000325
28 0.000236
32 0.000039
And (3) starting from the node (node number 13) with the maximum reactive correlation value, putting the line loss reduction elements one by one, namely the node numbers 16, 6 and 3 in sequence, and finishing the line loss optimization process when the 23 rd node is put into the line loss reduction element and the second line loss actual value is lower than the second line loss calculated value.
The embodiment shows that the monitoring method for optimizing the line loss based on the reactive correlation provided by the invention performs load flow calculation by using the ultra-short load actual measurement data to obtain a line loss calculation value, and can be used for pertinently putting in line loss reduction elements according to the correlation of line loss to reactive power, so that the effect of reducing the line loss is more obvious, and the monitoring method has good practical value in engineering.
Example two:
fig. 3 is a block diagram of a monitoring device for optimizing line loss based on reactive power correlation according to an embodiment of the present invention.
As shown in fig. 3, an embodiment of the present invention further provides a monitoring device for optimizing line loss based on reactive power correlation, including a data obtaining module 10, a first calculating module 20, a second calculating module 30, and an executing module 40;
the data acquisition module 10 is used for acquiring network parameters of the distribution line according to the topological structure of the distribution network and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line;
the first calculation module 20 is configured to obtain a first line loss calculation value of the distribution line by using load flow calculation according to the network parameter;
the second calculation module 30 is configured to calculate a reactive correlation value of each node according to that the line loss of the distribution line is abnormal if the first line loss actual value is greater than the first line loss calculated value;
and the execution module 40 is configured to start to input the line loss reduction elements one by one according to the reactive correlation values of the nodes from large to small from the node with the largest reactive correlation value, obtain a second line loss actual value and a second line loss calculated value by using the data acquisition module 10 and the first calculation module 20 after each node inputs the line loss reduction element, and stop inputting the line loss reduction elements to the nodes of the distribution line until the second line loss actual value is not greater than the second line loss calculated value.
In this embodiment of the present invention, the execution module 40 is further configured to continue to operate the power distribution network when the line loss of the power distribution line is normal, according to that the first line loss actual value is not greater than the first line loss calculated value.
In the embodiment of the present invention, the second calculation module 30 includes a node parameter obtaining sub-module, a first calculation sub-module, and a second calculation sub-module;
the node parameter acquisition submodule is used for acquiring the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
the first calculation submodule is used for calculating line loss, reactive power and active power of each node by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters;
and the second calculation submodule is used for calculating a reactive correlation value of each node by adopting a reactive correlation calculation formula according to the line loss, the reactive power and the active power of each node.
In the embodiment of the present invention, the line loss calculation formula is:
Figure BDA0003047171900000131
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure BDA0003047171900000141
the reactive power calculation formula is as follows:
Figure BDA0003047171900000142
Qmis reactive power of the m-th node, PmReactive power for the mth node;
the reactive correlation calculation formula is as follows:
Figure BDA0003047171900000143
in the formula (I), the compound is shown in the specification,
Figure BDA0003047171900000144
for line loss PlossFor the reactive power correlation values of the respective nodes,
it should be noted that the modules in the second embodiment correspond to the steps in the first embodiment, and the steps in the first embodiment have been described in detail in the first embodiment, and the contents of the modules in the second embodiment are not described in detail in this second embodiment.
Example three:
the embodiment of the invention provides a monitoring device for optimizing line loss based on reactive correlation, which comprises a processor and a memory, wherein the processor is used for processing a plurality of signals;
a memory for storing the program code and transmitting the program code to the processor;
and the processor is used for executing the monitoring method based on the reactive correlation optimization line loss according to the instructions in the program codes.
It should be noted that the processor is configured to execute the steps in the above-described embodiment of the monitoring method for optimizing line loss based on reactive power dependency according to the instructions in the program code. Alternatively, the processor, when executing the computer program, implements the functions of each module/unit in each system/apparatus embodiment described above.
Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in a memory and executed by a processor to accomplish the present application. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of a computer program in a terminal device.
The terminal device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the terminal device is not limited and may include more or fewer components than those shown, or some components may be combined, or different components, e.g., the terminal device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage may be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device. Further, the memory may also include both an internal storage unit of the terminal device and an external storage device. The memory is used for storing computer programs and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A monitoring method for optimizing line loss based on reactive correlation is characterized by comprising the following steps:
s10, acquiring network parameters of the distribution line according to a topological structure of the distribution network, and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line;
s20, obtaining a first line loss calculation value of the distribution line by adopting load flow calculation according to the network parameters;
s30, if the first line loss actual value is larger than the first line loss calculated value, the line loss of the distribution line is abnormal, and reactive power correlation values of all nodes are calculated;
and S40, starting from the node with the maximum reactive correlation value, putting line loss reduction elements into corresponding nodes one by one from large to small according to the reactive correlation values of all the nodes, after putting the line loss reduction elements into each node, obtaining a second line loss actual value and a second line loss calculated value by adopting the steps S10 and S20 until the second line loss actual value is not larger than the second line loss calculated value, and stopping putting the line loss reduction elements into the nodes of the distribution line.
2. The reactive correlation-based line loss optimization monitoring method according to claim 1, wherein after the step S20, the monitoring method further comprises: and if the first line loss actual value is not larger than the first line loss calculated value, the line loss of the distribution line is normal, and the distribution network continues to operate.
3. The method for monitoring line loss based on reactive power correlation optimization of claim 1, wherein if k nodes are provided on the distribution line, the step of calculating the reactive power correlation value of each node in step S30 comprises:
acquiring the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
calculating by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters to obtain line loss, and reactive power and active power of each node;
and calculating to obtain a reactive correlation value of each node by adopting a reactive correlation calculation formula according to the line loss, the reactive power and the active power of each node.
4. The reactive correlation-based line loss optimization monitoring method according to claim 3, wherein the line loss calculation formula is as follows:
Figure FDA0003047171890000011
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure FDA0003047171890000021
the reactive power calculation formula is as follows:
Figure FDA0003047171890000022
Qmis reactive power of the m-th node, PmReactive power for the mth node;
the reactive correlation calculation formula is as follows:
Figure FDA0003047171890000023
in the formula (I), the compound is shown in the specification,
Figure FDA0003047171890000024
for line loss PlossAnd the reactive correlation value of each node.
5. The reactive correlation-based line loss optimization monitoring method according to claim 3, wherein in step S10, a monitoring device is installed at each node on the distribution line.
6. A monitoring device for optimizing line loss based on reactive correlation is characterized by comprising a data acquisition module, a first calculation module, a second calculation module and an execution module;
the data acquisition module is used for acquiring network parameters of the distribution line according to the topological structure of the distribution network and acquiring a first line loss actual value of the distribution line by adopting a monitoring device; the network parameters comprise each node of the distribution line;
the first calculation module is used for obtaining a first line loss calculation value of the distribution line by adopting load flow calculation according to the network parameters;
the second calculation module is configured to calculate a reactive correlation value of each node according to that the line loss of the distribution line is abnormal if the first line loss actual value is greater than the first line loss calculated value;
the execution module is configured to launch line loss reduction elements one by one according to reactive correlation values of the nodes from large to small from the node with the largest reactive correlation value, obtain a second line loss actual value and a second line loss calculated value by using the data acquisition module and the first calculation module after each node launches the line loss reduction element until the second line loss actual value is not greater than the second line loss calculated value, and stop launching the line loss reduction elements to the nodes of the power distribution line.
7. The reactive power correlation-based line loss monitoring device according to claim 6, wherein the execution module is further configured to continue to operate the power distribution network when the line loss of the power distribution line is normal according to the fact that the first line loss actual value is not greater than the first line loss calculated value.
8. The reactive correlation optimization line loss-based monitoring device of claim 6, wherein the second calculation module comprises a node parameter acquisition sub-module, a first calculation sub-module and a second calculation sub-module;
the node parameter obtaining submodule is used for obtaining the voltage amplitude of each node and the voltage phase angle difference, the conductance and the susceptance between two nodes from the network parameters to obtain node parameters;
the first calculation submodule is used for calculating line loss, reactive power and active power of each node by adopting a reactive power calculation formula and a line loss calculation formula according to the node parameters;
and the second calculation submodule is used for calculating a reactive correlation value of each node by adopting a reactive correlation calculation formula according to the line loss, the reactive power and the active power of each node.
9. The reactive correlation based line loss optimization monitoring device of claim 8, wherein the line loss calculation formula is:
Figure FDA0003047171890000031
in the formula, GmnAnd BmnConductance and susceptance between the mth node and the nth node, respectively; u shapem、UnVoltage amplitudes of the mth node and the nth node respectively; thetamnIs the voltage phase angle difference between the node m and the node n, and m and n are belonged to (1,2,.. k), PlossDistributing line loss of the line for k nodes;
the reactive power calculation formula is as follows:
Figure FDA0003047171890000032
the reactive power calculation formula is as follows:
Figure FDA0003047171890000033
Qmis reactive power of the m-th node, PmReactive power for the mth node;
the reactive correlation calculation formula is as follows:
Figure FDA0003047171890000041
in the formula (I), the compound is shown in the specification,
Figure FDA0003047171890000042
for line loss PlossAnd the reactive correlation value of each node.
10. A monitoring device for optimizing line loss based on reactive correlation is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the reactive correlation-based optimized line loss monitoring method according to any one of claims 1 to 5 according to instructions in the program code.
CN202110476200.4A 2021-04-29 2021-04-29 Monitoring method, device and equipment for optimizing line loss based on reactive correlation Pending CN113162041A (en)

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